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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
episode_index: int64
global_episode_index: int64
length: int64
prompt: string
sample_end: int64
sample_start: int64
source_index: int64
task: string
qwen_tokenizer: struct<repo: string, revision: string>
  child 0, repo: string
  child 1, revision: string
hf_repo: string
schema_version: int64
stored_language_embedding_files: int64
stage2_metadata: list<item: string>
  child 0, item: string
dino_model: struct<repo: string, revision: string>
  child 0, repo: string
  child 1, revision: string
path_prefix: string
to
{'dino_model': {'repo': Value('string'), 'revision': Value('string')}, 'hf_repo': Value('string'), 'path_prefix': Value('string'), 'qwen_tokenizer': {'repo': Value('string'), 'revision': Value('string')}, 'schema_version': Value('int64'), 'stage2_metadata': List(Value('string')), 'stored_language_embedding_files': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              episode_index: int64
              global_episode_index: int64
              length: int64
              prompt: string
              sample_end: int64
              sample_start: int64
              source_index: int64
              task: string
              qwen_tokenizer: struct<repo: string, revision: string>
                child 0, repo: string
                child 1, revision: string
              hf_repo: string
              schema_version: int64
              stored_language_embedding_files: int64
              stage2_metadata: list<item: string>
                child 0, item: string
              dino_model: struct<repo: string, revision: string>
                child 0, repo: string
                child 1, revision: string
              path_prefix: string
              to
              {'dino_model': {'repo': Value('string'), 'revision': Value('string')}, 'hf_repo': Value('string'), 'path_prefix': Value('string'), 'qwen_tokenizer': {'repo': Value('string'), 'revision': Value('string')}, 'schema_version': Value('int64'), 'stage2_metadata': List(Value('string')), 'stored_language_embedding_files': Value('int64')}
              because column names don't match

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IMPRINT Datasets

This repository contains the public training stores and simulator environment assets for IMPRINT.

Layout

Path Contents
simulation/rmbench/450/ RMBench 450-episode Stage-1 and Stage-2 stores
simulation/rmbench/molmoact2_eval_assets/ MolmoAct2 metadata and 450 stored language embeddings
simulation/robocasa/600/ Customized RoboCasa 600-episode shared store
simulation/robocasa/environment/ Patched RoboCasa evaluation environment

The stores contain precomputed visual features and causal action/state streams used by the released training configurations. See release_manifest.json for immutable source revisions, file counts, and byte counts.

Code, configuration, and evaluation instructions are published in the Amazon-FAR/imprint GitHub repository.

Dataset and simulator assets remain subject to their source terms. Public release does not relicense third-party simulator assets or upstream features.

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